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Datasets provide the supplementary data for the publication in WRR journal: Microbial contamination of groundwater self-supply in urban Indonesia: Assessment of Sanitary and Socio-economic risk factors
Abstract: In urban Indonesia, more than 40 million people rely on groundwater self-supply, but the extent to which self-supply delivers safe water and the associated risk factors for faecal contamination remain unclear. This study quantified Escherichia coli (E.coli) for 511 self-supply sources and at point-of-use for 173 households in the cities of Bekasi and Metro. A structured questionnaire collected information about the household, water sources and potential on-site contamination sources. Univariate and multivariate logistic regression analysis examined risk factors for faecal contamination. E.coli was detected in 66% of sources, including 55% of boreholes, 64% of protected dug wells and 82% of unprotected dug wells. Widespread boiling of water meant microbial quality improved significantly between source and point-of-use, with E.coli detected in 30% of self-supply samples at point-of-use. Unprotected dug wells were significantly more likely to be contaminated than boreholes. In Bekasi, the analysis found a significant association between presence of E.coli and sanitation systems located within 10m of the groundwater source. In Metro, poorer households had significantly higher odds of contamination than wealthier households. Other significant factors included shallower borehole depths in Bekasi, use of a rope and bucket in Metro and absence of a concrete platform in Metro. In Bekasi, E.coli concentration at the source was significantly associated with water quality at point-of-use. Risk of faecal contamination could be reduced by supporting households to invest in improved protection, and by facilitating promotion for safe household water treatment. Support for self-supply improvements should be weighed against the expansion and improvement of piped water services.
ds01: Data Bekasi, data collection February-March 2020
ds02: Data Metro, data collection October-November 2020
ds03: Wealth index calculation Bekasi, data collection February-March 2020
ds04: Wealth index calculation Metro, data collection October-November 2020
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